Artificial Intelligence: Ideas from Nature with David Berman

Описание: We are now in the midst of an AI revolution. This talk describes how many of the ideas underpinning AI come from diverse realms of physics and how nature has constantly provided us with ideas for new AI methods and techniques. The talk covers the AI basics while forging links to a range of ideas in physics such as diffusion, annealing, magnetism, quantum field theory and the world of statistical physics. We end with a look to the future for both AI and physics and imagine where this symbiotic relationship could lead.

David Berman has been professor of theoretical physics at Queen Mary University of London since 2004; before that he was a research fellow at the University of Cambridge. He holds a PhD from University of Durham and has worked as a research fellow at the Universities of Utrecht, Groningen and Jerusalem. He is known for his work in String theory and M-theory, in particular his contributions to new geometric formulations of M-theory. He is also known for his work in media and for his engagement with artists and sculptors who are inspired by the ideas in contemporary physics. Over the last six years, he has been applying ideas from physics to artificial intelligence. He currently holds the position of head of AI for Cambridge Consultants.

This lecture was originally recorded at Aspen Center for Physics on Wednesday, January 17, 2024 as part of the Nick and Maggie DeWolf Foundation Winter Public Lecture Series.